PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.76 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (498 utterances, 1,813 words searched).

  1. because it's coming off , isn't it ? MOT · eng_british_Manchester_II/nic20b.cha, line 760 · Nicole 2;07
  2. are you coming back again on your bridge ? MOT · eng_british_Manchester_II/nic20b.cha, line 1241 · Nicole 2;07
  3. I've got a crocus coming out in my garden . MOT · eng_british_Manchester_II/nic20b.cha, line 1425 · Nicole 2;07
  4. and who's coming to have her lunch with us tomorrow after play+group ? MOT · eng_british_Manchester_II/nic20b.cha, line 1753 · Nicole 2;07
  5. Lucy is coming , isn't she ? MOT · eng_british_Manchester_II/nic20b.cha, line 1760 · Nicole 2;07
  1. eng_british_Manchester_II/nic20b.cha, line 760 · Nicole, 2;7.12
    CHIhave a sleep .
    MOTsit [/] sit just there and let me put your sock on .
    MOT*MOT: because it's coming off , isn't it ?
    CHIoh , look .
    MOTyeah .
  2. eng_british_Manchester_II/nic20b.cha, line 1241 · Nicole, 2;7.12
    CHIoh .
    CHIthat way .
    MOT*MOT: are you coming back again on your bridge ?
    MOTthat way ?
    CHIxxx .
  3. eng_british_Manchester_II/nic20b.cha, line 1425 · Nicole, 2;7.12
    CHIsoon .
    CHIwhere 0has [*] dinner got to ?
    MOT*MOT: I've got a crocus coming out in my garden .
    MOTyou really wanted to know that , didn't you ?
    MOTlook .
  4. eng_british_Manchester_II/nic20b.cha, line 1753 · Nicole, 2;7.12
    MOTwhy ?
    MOTbecause I want to .
    MOT*MOT: and who's coming to have her lunch with us tomorrow after play+group ?
    CHInobody .
    MOTLucy is coming , isn't she ?
  5. eng_british_Manchester_II/nic20b.cha, line 1760 · Nicole, 2;7.12
    MOTand who's coming to have her lunch with us tomorrow after play+group ?
    CHInobody .
    MOT*MOT: Lucy is coming , isn't she ?
    CHIyeah .
    MOTyeah .

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Nicole eng_british_Manchester_II2.76
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic20b.chaNicole 2;7.121,813552.76

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. coming5 · 100.0%